Some properties of the floor field cellular automata evacuation model

Gwizdałła, Tomasz M.

doi:10.1016/j.physa.2014.10.070

Cited by 26 publications

(7 citation statements)

References 30 publications

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“…A comprehensive study devoted to the analysis of different elements of a floor field model of crowd is presented in [15]. The author takes into account different types of applied neighborhood, proxemics-like effects in the context of the model's reliability.…”

Section: Related Workmentioning

confidence: 99%

Cellular Automata as the basis of effective and realistic agent-based models of crowd behavior

2016

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The Cellular Automata (CA) paradigm has been recognized as an effective approach used in the modeling and simulation of complex systems. However, its classical form of a homogeneous and synchronous CA has a limited field of applications. For practical applications, non-homogeneous and asynchronous CAs with hybrid technological construction are especially useful in modeling and simulation. In this article, the authors focus on crowd simulations based on CA and agent-based modeling approaches. Basic technical aspects of large-scale crowd simulations are presented: specifically proposed architecture, our view on synchronization patterns, as well as hierarchy of objects in logic and data layer. A new method of agent conflict resolution is also proposed. Such an approach was successfully applied in the Allianz Arena stadium model, and other large-scale simulations developed by the authors. Thus, finally, practical applications of the models are presented.

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Section: Related Workmentioning

confidence: 99%

Cellular Automata as the basis of effective and realistic agent-based models of crowd behavior

2016

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“…Ruggiero 33 Lovreglio thanks the Lerici Foundation for the financial support for his guest researcher appointment at Lund University. 34 Ruggiero Lovreglio thanks also Dr. Giulio Santori (The University of Edinburgh) for his advice concerning optimization 35 problems.…”

Section: Acknowledgementsmentioning

confidence: 99%

“…Seer et al [23] proposed a calibration of the social force model [10] through 31 a microscopic method and LSE using data collected by Microsoft Kinect R ⃝ . Johansson et al [24] introduced a microscopic 32 method to calibrate pedestrian-simulation models by using an ad-hoc relative distance error, and applied the method to 33 the social force model. Antonini et al [25] proposed a microscopic pedestrian model based on discrete choice modelling, 34 and calibrated it by the MLE using an experimental dataset of pedestrian trajectories.…”

Section: Introductionmentioning

confidence: 99%

“…A squared mesh is 4 used in this work given its simple implementation, although the methodology can be applied for any cell shape. Another 5 assumption that need to be taken into account is the definition of the neighbourhood defining the possible movements for 6 a pedestrian (e.g., Moore or von Neumann) [33]. In the present work, a Moore neighbourhood is used since it allows more 7 movement directions (i.e.…”

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confidence: 99%

“…Therefore, the probability of having the T q trajectory can be defined as the product of the single choices (C q i → C q i+1 ) 33 (i.e. panel data [47]): 35 However, some of the parameters…”

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confidence: 99%

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